On Mon, Sep 22, 2014 at 4:21 AM, Dibyendu Bhattacharya < [email protected]> wrote:
> Hi, > > Last few days I am working on a Spark - Apache Blur Connector to index > Kafka messages into Apache Blur using Spark Streaming. We have been working > on to build a distributed search platform for our NRT use cases and we have > been playing with Spark Streaming and Apache Blur for the same. We are > presently working on Apache Blur and here is a Spark Connector I would like > to share with community to get a feedback for this. > > This Connector uses the Low Level Kafka Consumer which I had written few > weeks back (https://github.com/dibbhatt/kafka-spark-consumer). There was a > separate thread on this Kafka Consumer in Spark group. > > Even though I was able to index Kafka messages using this low level > consumer via Apache Blur Queuing API , I wanted to try out the Spark > saveAsHadoop* API which can perform bulk loading of RDD into Apache Blur. > > For that I have written this Blur Connector for Spark ( > https://github.com/dibbhatt/spark-blur-connector). > > This connector uses the same Kafka Low level consumer which I mentioned > above, and partition the RDD which is same as number of Shards for target > Blur Table. For this I had to use a Custom Partitioner logic so that > Partition of Keys in RDD is same as Partition of Keys into Targte Blur > Shard. > > I also implemented a Custom BlurOutputFormat to return > the BlurOutputCommitter which use the new Hadoop api > (org.apache.hadoop.mapreduce). > > There are few minor changes I did in existing GenericBlurRecordWriter > and BlurOutputCommitter and used modified RecordWriter and OutputCommiter > for this Spark Blur connector. If those minor issues are fixed in Apache > blur, no need to use these custom code . > > > Have tested this connector to index activity streams coming to Kafka > cluster, and it nicely index Kafka messages into Target Apache Blur > tables. > > Would love to hear what you think. I have copied both Apache Blur and Spark > community.. > I think this is awesome! I have read through the code but I still need to get it running to put it through it's paces. :-) Do you think that you would want to contribute this code into Blur? Aaron > > > Regards, > Dibyendu >
